What goes around comes around: Cycle-Consistency-based Short-Term Motion Prediction for A... arxiv.org/abs/1908.03055

Editing Text in the Wild. arxiv.org/abs/1908.03047

CGI faces will soon be indistinguishable from real ones. Here’s how
https://www.digitaltrends.com/cool-tech/cubic-motion-scanning-technology/

Centre for Computational Statistics and Machine Learning from UCL's Machine Learning Summer School (MLSS'19) video lectures are available here,

https://search.videoken.com/?orgId=198

The topics range from optimization and Bayesian inference to deep learning, reinforcement learning, and Gaussian processes. The lectures are of tutorial style, starts from basics, but then quickly picking up the pace so that after 2-4 hours of teaching, they arrive at the state of the art in the subject area.

#summerschool #machinelearning #tutorials #deeplearning #speechprocessing #reinforcementlearning

Probabilistic Models with Deep Neural Networks

Masegosa et al.: https://arxiv.org/abs/1908.03442

#MachineLearning #NeuralNetworks #StatisticsTheory

Must follow Github Repository
⚡️Contains +100 AI Cheatsheets
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All in one Github Repository
https://github.com/Niraj-Lunavat/Artificial-Intelligence
#Github #artificialIntellige­nce #ai #ml #machinelearning

Learning Vision-based Flight in Drone Swarms by Imitation
Schilling et al.: https://arxiv.org/abs/1908.02999
#Robotics #MachineLearning #MultiagentSystems

NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data

Sun et al.: https://arxiv.org/abs/1908.03190

#ArtificialIntelligence #NeuralNetwork #PartialDifferentialEquations

Machine Learning Internships in India

https://verzeo.in/machine-learning-internship-in-india

AutoDL 2019


https://autodl.chalearn.org/

What’s New in Deep Learning Research: Learning and Teaching the West World Way
#towardsdatascience #datascience #news #learning
https://towardsdatascience.com/whats-new-in-deep-learning-research-learning-and-teaching-the-west-world-way-659892b2e452

CVPR 2018 open access

https://openaccess.thecvf.com/content_cvpr_2018/html/Ulyanov_Deep_Image_Prior_CVPR_2018_paper.html

Deep Kernel Learning for Clustering
Wu et al.: https://arxiv.org/pdf/1908.03515v1.pdf
#DeepLearning #MachineLearning #NeuralNetworks

One-shot Face Reenactment"
Zhang et al.: https://arxiv.org/abs/1908.03251
Project: https://wywu.github.io/projects/ReenactGAN/OneShotReenact.html
GitHub: https://github.com/bj80heyue/One_Shot_Face_Reenactment
#ArtificialIntelligence #DeepLearning #MachineLearning

Looking to fall in love... with science? 😍 Help scientists train machines to study stroke lesions by swiping on our app:

https://braindrles.us/#/

#citizenscience #braindr #braindrles #neuroscience #machinelearning #swipesforscience #openscience #OHBM2019

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
Such et al.: https://arxiv.org/abs/1812.07069
Code: https://github.com/uber-research/atari-model-zoo
Blog: https://eng.uber.com/atari-zoo-deep-reinforcement-learning/
#ArtificialIntelligence #DeepLearning #ReinforcementLearning

MegatronLM: Training Billion+ Parameter Language Models Using GPU Model Parallelism
"... training an 8.3 billion parameter transformer language model with 8-way model parallelism and 64-way data parallelism on 512 GPUs, making it the largest transformer based language model ever trained at 24x the size of BERT and 5.6x the size of GPT-2."
Blog by NVIDIA Applied Deep Learning Research : https://nv-adlr.github.io/MegatronLM
Code: https://github.com/nvidia/megatron-lm
#ArtificialIntelligence #DeepLearning #NLP #PyTorch #Transformer

"There has been surprisingly little mainstream discussion about how the techniques we classify as AI actually work.”

Andrew Ng and Derrick Harris discuss enterprise AI in just 15 minutes: https://content.pivotal.io/intersect/ai-in-15-minutes